Convex Optimization in Signal Processing and Communications por Palomar, Daniel P. (Editor)/ Eldar, Yonina C. (Editor) - 2009

Cambridge University Press, 2009-12-03. Hardcover. Very Good. 2.7919 24.8731 18.0203. Unread. There is some minor wear to the cover.

ISBN: 9780521762229
CAMBRIDGE UNIVERSITY PRESS | 25 January 2010
Hardback | 512 pages 
Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent… Ler mais

Cambridge University Press, 2009-12-03. Hardcover. New. 2.7919 24.8731 18.0203.

Hardback. New. Leading experts provide the theoretical underpinnings of the subject plus tutorials on a wide range of applications, from automatic code generation to robust broadband beamforming. Emphasis on cutting-edge research and formulating problems in convex form make this an ideal textbook for advanced graduate courses and a useful self-study guide.